asu

asu — CS2 Stats

76561198443516612[U:1:483250884]Steam profile ↗✓ No bans

2,223Tracked matches50%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
FaceitLevel 8 · 1,572 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,572 → 1,572
+1Tracked matches · now 2,223
0.0ppWin rate · 50.0% → 50.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 21 days played since 14 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,123 +1,963 14 Mar23 May · 16 days played
22,16025,507peak 25,50714 Mar23 May
Faceit ELO: 1,572 +0 30 Aug4 Sept · 2 observations
1,5721,572peak 1,57230 Aug4 Sept
25,507Peak Premier in tracked matches
1,572Highest Faceit ELO seen on CSDB
21Days played since 2026-03-14

Faceit ELO

  • At peak — 1,572
  • Next: Level 9 at 1,751 179 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGasuFACEITLevel 8 · 1,572 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,572csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim51
Positioning46
Utility54

0–100 skill scores via Leetify.

Recent form

HOT60364Last 10060%Win rateWWWWWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −2.6pp headshot accuracy · −49ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 50 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 541ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 566ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 590ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim5.1
Utility5.4
Positioning4.6
Opening Duels2.6
Clutch1.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.1
Positioning4.6
Utility5.4
Mechanics5.2
Opening Duels2.3
Win Impact5.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time586ms−33ms
first ⅓ avg 619ms → last ⅓ avg 586ms
Headshot accuracy16.0%−0.8%
first ⅓ avg 16.8% → last ⅓ avg 16.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–3 · cache, 22 May
33%Best headshot accuracy · 12–3 · nuke, 23 Mar
414msFastest reaction time · 13–2 · mirage, 5 Apr
13–0Biggest win · inferno, 23 May

Across the last 100 tracked matches.

Highlights

16Longest win streak
W7Current streak
48In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 69% over 13infernoWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B32171553%-0.01
mirageS2517868%0.01
nukeS139469%0.03
cacheA117464%0.00
infernoB105550%0.01
ancientB63350%-0.02
overpass220100%0.04
anubis1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,160Matches
52%Win rate
0.95Avg K/D
69.7ADR
42%Headshot %

Clutches & streaks

25%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage933%0.8413.3
Inferno367%1.0213.3
Nuke20%1.0216.0
Train1100%0.547.0
Anubis1100%1.0014.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
30.9%Accuracy (enemy spotted)
35.9%Spray accuracy
73.3%Counter-strafing
11.2°Preaim
586msReaction time
30.5%T opening success
48.1%CT opening success
0.68Enemies flashed / flash
4.1%Flash assists
5.30HE damage / grenade
9.82Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.4827% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–20.0121%17 Sept
dust213–80.0420%19 Jul
cache13–60.0913%19 Jul
nuke13–80.0017%19 Jul
ancient16–140.0013%19 Jul
mirage13–10-0.0212%19 Jul
inferno13–40.0711%19 Jul
ancient10–13-0.0716%19 Jul
dust213–8-0.0216%19 Jul
anubis11–13-0.049%19 Jul
dust22–13-0.0420%19 Jul
mirage13–9-0.0712%16 Jul
mirage13–10.0124%16 Jul
inferno11–13-0.0022%16 Jul
dust20–13-0.0611%16 Jul
dust213–70.078%16 Jul
ancient16–14-0.0012%16 Jul
nuke11–130.0724%16 Jul
dust210–130.0329%16 Jul
mirage13–50.0312%16 Jul
mirage9–13-0.0310%5 Jun
cache4–13-0.0523%5 Jun
mirage7–13-0.0627%23 May
dust29–13-0.0512%23 May
mirage11–13-0.0019%23 May
inferno9–130.0613%23 May
inferno13–0-0.0211%23 May
dust28–13-0.0412%23 May
ancient4–13-0.0421%22 May
dust213–00.1117%22 May
cache13–40.0417%22 May
cache13–4-0.014%22 May
nuke13–40.0819%22 May
cache13–30.134%22 May
dust20–13-0.0214%22 May
nuke13–50.1018%21 May
dust215–15-0.046%21 May
mirage13–90.0421%20 May
dust213–8-0.0114%20 May
ancient8–13-0.049%20 May
dust24–130.0914%20 May
cache9–13-0.019%20 May
mirage13–70.1221%20 May
inferno7–13-0.1117%20 May
cache13–70.0419%20 May
cache13–9-0.0514%20 May
dust213–6-0.0116%20 May
dust25–13-0.1014%19 May
mirage15–150.0311%19 May
inferno7–130.0519%19 May
nuke13–10-0.034%15 May
dust25–13-0.0611%15 May
dust29–130.0222%15 May
mirage13–11-0.026%15 May
mirage11–130.0312%15 May
dust27–130.0110%15 May
inferno13–40.0215%15 May
mirage13–5-0.0111%15 May
dust213–9-0.0316%15 May
nuke15–150.0313%12 May
dust211–13-0.0216%12 May
cache12–12-0.0012%11 May
cache13–10-0.099%11 May
cache0–4-0.040%11 May
inferno8–130.0518%9 May
dust26–13-0.0419%9 May
nuke13–6-0.0010%9 May
mirage16–13-0.0629%15 Apr
inferno16–130.0411%10 Apr
dust213–8-0.0416%6 Apr
nuke13–60.0311%6 Apr
mirage13–30.0019%6 Apr
inferno13–10-0.0318%6 Apr
nuke13–20.0314%6 Apr
dust213–6-0.0416%5 Apr
dust213–3-0.0124%5 Apr
dust213–40.0127%5 Apr
mirage13–80.0325%5 Apr
nuke13–9-0.0018%5 Apr
mirage13–20.0516%5 Apr
overpass16–140.0215%26 Mar
dust213–1-0.0111%26 Mar
nuke9–13-0.0213%26 Mar
dust213–10-0.0110%26 Mar
dust213–3-0.0414%26 Mar
mirage11–13-0.0112%26 Mar
dust213–3-0.056%26 Mar
mirage7–13-0.0024%26 Mar
ancient13–40.059%23 Mar
overpass13–30.0627%23 Mar
mirage7–130.0316%23 Mar
nuke12–30.0533%23 Mar
mirage13–50.0214%23 Mar
mirage13–8-0.0119%15 Mar
dust213–60.0220%15 Mar
mirage13–8-0.066%15 Mar
mirage13–80.0617%14 Mar
nuke11–13-0.0121%14 Mar
dust28–13-0.0111%14 Mar
mirage13–80.0510%14 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches16-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →